01620241

Component

https://doi.org/10.3141/2615-04

Work zones and lane closures on urban arterials can cause significant disruptions to the traveling public, and methods are increasingly needed to estimate the reductions to saturation flow rates that result from work zones at signalized intersections. A set of statistical models that estimate saturation headways as a function of the presence and configuration of the work zone on signalized arterial streets is presented. More than 10,000 individual vehicular headway observations were collected from video observations in and after work zones at six study sites in North Carolina. Conventional multiple-regression and path-based-regression models (structural equation model) were used to develop the saturation headway models. Three models are provided at different aggregation levels of the collected data with identical work zone configurations. The models developed at cycle-length, 15-min, and full aggregation produced adjusted R-squared values of .3259, .7209, and .895, respectively. The proposed model incorporates the effects of lane configuration, pavement condition, turning percentage from shared lanes, work intensity, and number of closed exclusive turning lanes. Based on path analysis, the structural equation model satisfies all the rule-of-thumb criteria for goodness-of-fit indices. The model uses Highway Capacity Manual default values for turning-vehicle headway effect as its intercept coefficient value.

01628078

17-06051

English

pp 26–34

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442040

Digital/other

Figures (2) ; References (28) ; Tables (6)

Arterial highways; Lane closure; Signalized intersections; Urban highways; Work zones

North Carolina

Highways; Operations and Traffic Management

PRP, TRIS, TRB, ATRI

Dec 19 2016 1:12PM

• Application of High-Resolution Vehicle Data for Free-Flow Speed Estimation
• Calibrating Vissim to Analyze Delay at Signalized Intersections
• Car Drivers’ Experienced Level of Service on Freeways
• Estimating the Effects of Urban Street Incidents on Capacity
• Evaluation and Testing of Driver-Assistive Truck Platooning: Phase 2 Final Results
• How Weather Events Affect Freeway Demand Patterns
• Influence of Remotely Operated Stop–Slow Controls on Driver Behavior in Work Zones
• Measuring Performance on Two-Lane Highways: Empirical Investigation
• Modeling Pedestrian Delays at Signalized Intersections as a Function of Crossing Directions and Moving Paths
• Naturalistic Study of Truck Following Behavior
• Novel Area Occupancy–Based Method for Passenger Car Unit Estimation on Multilane Urban Roads Under Heterogeneous Traffic Scenario
• Operational Analysis of a Single-Lane Roundabout with a Mix of Driverless Vehicles
• Optimizing and Modeling Tollway Operations Using Microsimulation: Case Study Sanand Toll Plaza, Ahmedabad, Gujarat, India
• Preparing Oregon for Connected Vehicle Deployment: Application Prioritization Process
• Proposed Framework for Evaluating Spillback in the Highway Capacity Manual
• Queue Length at Signalized Intersections from Red-Time Formula and the Highway Capacity Manual Compared with Field Data
• Relationship Between Cycle Overflow Probability and Capacity at Signalized Intersections: Application for Delay Estimation